class_docstr: Testing suite for Bark - tests all the tests defined in `BetterTransformersTestMixin`
  Since `Bark` is a text-to-speech model, it is preferrable
  to define its own testing class.
code: def test_invert_modules(
      self, test_name: str, model_type: str, keep_original_model=False
  ):
      model_id = MODELS_DICT[model_type]
      self._test_invert_modules(
          model_id=model_id, keep_original_model=keep_original_model
      )
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from parameterized import parameterized
  from testing_utils import MODELS_DICT, BetterTransformersTestMixin
  from transformers import AutoModel, AutoProcessor, set_seed
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils.testing_utils import grid_parameters, require_torch_gpu
label_desc: Use image node_id 5 for calling the BetterTransformersBarkTest obj's underlying member method code with example usage: obj.test_invert_modules(test_name, model_type, keep_original_model) without return types